Xiaohongshu Post Scraper

Scrape Xiaohongshu (Little Red Book) Post Data to a Spreadsheet

Extract post titles, like counts, comment counts, save counts, author usernames, follower counts, tags, and product mentions from Xiaohongshu feeds and search results. No API, no code — just open the page and extract.

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What data gets extracted

DataLens automatically detects and extracts these fields from Xiaohongshu — no selectors, no code, no maintenance.

TitleLikesCommentsSavesAuthorFollowersTagsDateURL

How it works

  1. 1

    Open a Xiaohongshu feed, search results, or creator profile in Chrome.

  2. 2

    Launch DataLens and let the AI detect the post card structure.

  3. 3

    Scroll to load more posts and export to CSV or Excel.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

What Xiaohongshu data can DataLens extract?

DataLens extracts post titles, like counts, comment counts, save counts, author usernames, follower counts, hashtag tags, and publish dates from Xiaohongshu feeds and search result pages.

Do I need a Xiaohongshu API key?

No. DataLens reads content rendered in your Chrome browser without any API credentials.

Can I extract Xiaohongshu product reviews?

Yes. Navigate to a product page or review thread and DataLens will detect the post/card structure and extract the visible content.

Can I export to Excel?

Yes. Export Xiaohongshu data to CSV, Excel (XLSX), or JSON for brand monitoring, influencer research, or market analysis.